PCA = Gabor for Expression Recognition
Matthew N. Dailey, Garrison W. Cottrell · eScholarship (California Digital Library) · 1999
We show that Gabor filter representations give quantitatively indistinguishable results for classification of facial expressions as local PCA representations, in contrast to other recent work. We also show that a simple discriminant analysis automatically locates regions roughly corresponding to relevant Facial Actions. Finally, we in troduce a method that typically boosts generalization performance 9% by "peeking" at all of the unlabeled training patt erns before classifying them.Pre-2018 CSE ID: CS1999-0629